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OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
[Notice] The repo temporarily locked while ownership transfer. in the meantime we maintain on here: https://github.com/ultraworkers/claw-code-parity. The fastest repo in history to surpass 100K sta…
EnzyMM - Enzyme Motif Miner - Geometric matching of catalytic motifs in protein structures.
[NeurIPS 2023] The implementation for the paper "Crystal Structure Prediction by Joint Equivariant Diffusion"
Practical Cheminformatics Tutorials
Flow matching for accelerated simulation of atomic transport
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
RoMa: A lightweight library to deal with 3D rotations in PyTorch.
Notebooks to follow along with "Deep Learning for Biology" Chapters 2 to 6.
Computations and statistics on manifolds with geometric structures.
This is an active learning framework that uses single-ended growing string method and neural networks to build machine learning forcefields that quickly understands reactive energy landscape.
Implementation for Flexible MOF Generation with Torsion-Aware Flow Matching
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning
Implementation for MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
A code to generate atomic structure with symmetry
Torch-native, batchable, atomistic simulations.
MACE foundation models (MP, OMAT, mh-1)
Materials science with Python at the atomic-scale
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
SevenNet - a graph neural network interatomic potential package supporting efficient multi-GPU parallel molecular dynamics simulations.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
TorchCFM: a Conditional Flow Matching library
Implementation of Denoising Diffusion Probabilistic Model in Pytorch